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International Conference On Big Data and Internet of Things

BDIoT 2021: Proceedings of the 5th International Conference on Big Data and Internet of Things pp 263–273Cite as

Digital Twin-Driven Approach for Smart Industrial Product Design

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 489))

Abstract

The new emerging technologies, such as Internet of Things (IoT), big data analytics, cloud computing and rapid advances in smart software/hardware systems continue to enhance industrials capabilities for the development of efficient Digital Twins (DT). While this emerging DT is seen as a promising track for achieving smart integrated product design processes, industrials and researchers are still confronted to a set of challenges in DT development related to semantic interoperability, effective integration between the virtual and physical entities and the persistent need of inherent reasoning abilities in the developed design frameworks. In response to this increasing interest and challenges, we explore in this paper the potentialities of using DT-driven approaches in complex industrial product design, we identify the main remaining and future challenges to achieve seamless integration and smart abilities all throughout the product design process and we propose a new DT-driven approach for smart product design that combines the potentialities of the new technologies such as IoT and Big Data Analytics with the potentialities of inference ontologies, particularly their expressiveness and reasoning abilities. An industrial case of study is developed to illustrate the application of the proposed DT-driven design approach.

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Author information

Authors and Affiliations

  1. Industrial and Manufacturing Engineering Department, ENSAM-Meknes, Moulay Ismail University, Meknes, Morocco

    Mohammed Abadi & Hussain Ben-Azza

  2. Laboratory of Mechanics, Mechatronics and Command, Team of Electrical Energy, Maintenance and Innovation, ENSAM-Meknes, Moulay Ismail University, Meknes, Morocco

    Chaimae Abadi

  3. Euromed Research Center, INSA Euro-Méditerranée, Euromed University of Fes, Route de Meknès (Rond Point Bensouda), 30 000, Fès, Morocco

    Asmae Abadi

Authors
  1. Mohammed Abadi
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  2. Chaimae Abadi
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  3. Asmae Abadi
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  4. Hussain Ben-Azza
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Corresponding author

Correspondence to Mohammed Abadi .

Editor information

Editors and Affiliations

  1. ENSIAS, Mohammed V University, Rabat, Morocco

    Mohamed Lazaar

  2. UNILEHAVRE, UNIROUEN, Normandie Université, Le Havre, France

    Claude Duvallet

  3. Vrije Universiteit Brussel, Brussels, Belgium

    Abdellah Touhafi

  4. ENSA, Abdelmalek Essaâdi University, Tetuan, Morocco

    Mohammed Al Achhab

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Cite this paper

Abadi, M., Abadi, C., Abadi, A., Ben-Azza, H. (2022). Digital Twin-Driven Approach for Smart Industrial Product Design. In: Lazaar, M., Duvallet, C., Touhafi, A., Al Achhab, M. (eds) Proceedings of the 5th International Conference on Big Data and Internet of Things. BDIoT 2021. Lecture Notes in Networks and Systems, vol 489. Springer, Cham. https://doi.org/10.1007/978-3-031-07969-6_20

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